Eunbi Park, Alex Ruys de Perez
Collaborators: Elena Dimitrova (Cal Poly), Daniel Cruz (UF)
Funding Sources: NSF-Simons Foundation Southeast Center for Mathematics & and Biology
Related links: CMaT, MCELS@GT-Emory, SCMB
Induced pluripotent stem cells (iPSCs) have the unique ability to differentiate into cell types of all germ lineages, making them a potentially robust cell source for regenerative medicine therapies; however, the fate and behavior of iPSCs is difficult to control and predict, which currently limits their potential uses in medicine and industry.
We are investigating emergence of stem cell differentiation in multicellular in vitro systems. Using agent-based modeling, Boolean network analysis, and novel methods for quantifying cellular patterning, we are studying the intracellular signaling and intercellular communication responsible for controlling stem cell fate and organizational principles. We have developed tools for quantifying features in multicellular systems that allow for stringent comparison between computational simulations and microscopy-based imaging.
Related Publications
Nikitina, A.A., Roysam T., Kemp, M.L. “Early Dynamic Changes in iPSC Oxygen Consumption Rate Predict Future Cardiomyocyte Differentiation”. Bioengineering & Biotechnology, 1-6, DOI: 10.1002/bit.28489, 2023.
Nikitina A., Huang D., Li L., Peterman N., Cleavenger S.E., Fernández F.M., and Kemp M.L. “A Co-registration Pipeline for Multimodal MALDI and Confocal Imaging Analysis of Stem Cell Colonies”. Journal of the American Society for Mass Spectrometry, doi: 10.1021/jasms.9b00094, 2020.
Norfleet, D.A., Park, E., Kemp, M.L. “Computational Modeling of Organoid Development”. Current Opinion in Biomedical Engineering, 13:113-118, doi: 10.1016/j.cobme.2019.12.014, 2020.
Glen, C.M., Kemp, M.L., Voit, E.O. “Agent-based modeling of morphogenetic systems: Advantages and challenges”. PLoS Comput Biol, 15(3): e1006577. doi: 10.1371/journal.pcbi.1006577, 2019.
Glen, C.M., McDevitt, T.C., Kemp, M.L. “Dynamic intercellular transport modulates the spatial patterning of differentiation during early neural commitment”. Nature Communications, 9(1): 4111. doi: 10.1038/s41467-018-06693-1, 2018.
White, D.E., Sylvester J.B., Kinney M.A., Levario T.J., Lu, H., Streelman J.T., McDevitt, T.C., Kemp, M.L. “Quantitative Multivariate Analysis of Dynamic Multicellular Morphogenic Trajectories”, Integrative Biology, DOI:10.1039/c5ib00072f, 2015.
White, D.E., Kinney, M.A., McDevitt, T.C., Kemp, M.L. “Spatial Pattern Dynamics of 3D Stem Cell Differentiation via Rules-Based Computational Modeling”. PLoS Computational Biology, 9(3): e1002952, 2013.
Nair, R., Ngangan, A.V., Kemp, M.L., McDevitt, T.C. “Gene Expression Signatures of Extracellular Matrix and Growth Factors During Embryonic Stem Cell Differentiation”. PLoS One, 7(10): e42580, 2012.